Sciweavers

567 search results - page 29 / 114
» Convergence of a Neural Network Classifier
Sort
View
FLAIRS
2004
13 years 9 months ago
Simulating Biological Motion Perception Using a Recurrent Neural Network
People have the ability to perceive biological motion under conditions of severely limited visual information. If the information is in the form of a point-light motion sequence o...
Roxanne L. Canosa
CVPR
2010
IEEE
14 years 4 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ISNN
2007
Springer
14 years 2 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu
IJON
2008
109views more  IJON 2008»
13 years 7 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
TROB
2002
106views more  TROB 2002»
13 years 7 months ago
A dual neural network for bi-criteria kinematic control of redundant manipulators
A dual neural network is presented for the bi-criteria kinematic control of redundant manipulators. To diminish the discontinuity of minimum infinity-norm solutions, the kinematicc...
Yunong Zhang, Jun Wang, Yangsheng Xu